# Running PhotoPrism on a Raspberry Pi
Our stable version and development preview now come as a single multi-arch image for AMD64, ARM64, and ARMv7:
https://hub.docker.com/r/photoprism/photoprism
If your device meets the system requirements, mostly the same installation instructions as for regular Linux
servers apply:
https://docs.photoprism.org/getting-started/docker-compose/
!!! Docker Image Name
Use `photoprism/photoprism:latest` for the stable release or `photoprism/photoprism:preview` for testing
preview builds. Make sure to [pull the most recent image](updates.md) from Docker Hub. Existing users are advised to
update their `docker-compose.yml` config based on our examples for [ARM64](https://dl.photoprism.org/docker/arm64/docker-compose.yml)
and [ARMv7](https://dl.photoprism.org/docker/armv7/docker-compose.yml)-based devices.
!!! ARMv7-based Devices
Owners of [ARMv7-based devices](https://dl.photoprism.org/docker/armv7/docker-compose.yml) have to revert to
an [alternative image](https://hub.docker.com/r/linuxserver/mariadb) if they want to use MariaDB.
The [official image](https://hub.docker.com/_/mariadb) is available for AMD64 and ARM64 only.
Pay close attention to changed directory and environment variable names.
### System Requirements ###
- Your device should have at least 4 GB of memory. Running PhotoPrism on a server with less than 4 GB of swap space
or setting a memory/swap limit can cause unexpected restarts, especially when the indexer temporarily needs more
memory to process large files.
- It's important to [boot](https://www.raspberrypi.org/documentation/installation/installing-images/README.md) your
Raspberry Pi 3 / 4 with the parameter `arm_64bit=1` in `config.txt` to use our ARM64 (64-bit) image.
An "exec format error" will occur otherwise. Alternatively, you may run it on
[UbuntuDockerPi](https://github.com/guysoft/UbuntuDockerPi). It's a 64bit Ubuntu Server with Docker pre-installed.
- If you see Docker errors related to "cgroups", it may help to add the following to `/boot/firmware/cmdline.txt`:
```
cgroup_enable=cpuset cgroup_enable=memory cgroup_memory=1
```
- We recommend disabling Linux kernel security in your [docker-compose.yml](https://dl.photoprism.org/docker/arm64/docker-compose.yml),
especially if you do not have experience with the configuration:
```yaml
photoprism:
security_opt:
- seccomp:unconfined
- apparmor:unconfined
```
- If you install PhotoPrism on a public server outside your home network, please always run it behind a secure
HTTPS reverse proxy such as Traefik, Caddy, or NGINX. Your files and passwords will otherwise be transmitted in
clear text and can be intercepted by anyone, including your provider, hackers, and governments.
!!! Note
Indexing large photo and video collections significantly benefits from fast, local SSD storage,
and plenty of memory for caching. Especially the conversion of RAW images and the transcoding of
videos are very demanding.
!!! Reducing System Load
If you're running out of memory - or other system resources - while indexing, try reducing the
[number of workers](https://docs.photoprism.org/getting-started/config-options/) by setting
`PHOTOPRISM_WORKERS` to a reasonably small value in `docker-compose.yml` (depending on the performance of the server).
As a measure of last resort, you may disable using TensorFlow for image classification and facial recognition.
Big thank you to [Guy Sheffer](https://github.com/guysoft)
for [building](https://github.com/photoprism/photoprism/issues/109) this!
